The ENDOMIX project: an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease

  • Ana Claudia Zenclussen*
  • , Valentina Belmar Erilkin
  • , Linda Böhmert
  • , Petra Borilova Linhartova
  • , Albert Braeuning
  • , Georg Braun
  • , Cécile Chevrier
  • , Liesbeth Duijts
  • , Beate Isabella Escher
  • , Janine Felix
  • , Sergio Gómez-Olarte
  • , Mònica Guxens
  • , Gunda Herberth
  • , Klara Hilscherova
  • , Jana Klanova
  • , Yvonne Kohl
  • , Katharina Krischak
  • , Dominique Lagadic-Gossmann
  • , Sophie Langouët
  • , Sabrina Llop
  • Maria Jose Lopez-Espinosa, Léa Maitre, Corinne Martin-Chouly, Nicole Meyer, Marion Ouidir, Thi Anh Mai Pham, Claire Philippat, Raymond Pieters, Marie Laure Pinel-Marie, Normand Podechard, Tobias Polte, Elliott Price, Oliver Robinson, Kristin Schubert, Anne Schumacher, Violeta Stojanovska, Tamara Tal, Paolo Vineis, Robert van Vorstenbosch, Roel Vermeulen, Charline Warembourg
*Corresponding author for this work

Research output: Contribution to journalLetterAcademicpeer-review

Abstract

The true impact of endocrine disrupting chemicals (EDCs) on human health is far from being understood. Humans are exposed to mixtures of chemicals throughout their lives, yet regulations and most studies focus on individual chemicals. ENDOMIX takes a novel approach to identifying associations and causality between EDCs and adverse health outcomes by focusing on exposure to mixtures of EDCs over the life course, including windows of susceptibility, using human biomonitoring data from several European cohorts. We will model and measure how real-life EDC mixtures act together and target the immune system to initiate, trigger or maintain disease. Health effects will be investigated using pioneering methodologies ranging from high-throughput in vitro bioassays, sophisticated organoid and co-culture systems, to in vivo models. In combination, they will provide valuable information on mechanistic pathways and transgenerational effects of EDC exposure. We aim to identify biomarkers and patterns of chemical exposures that are easy to measure, available for large cohorts and indicative for adverse health outcomes. We will use in vitro, in silico and in vivo data to strengthen causal inference using a weight-of-evidence approach. Moreover, using novel text mining methods, we will create knowledge graphs to capture and summarize the complexity of biomechanistic information, which aids rapid risk assessments and the creation of network models. The knowledge generated by ENDOMIX will provide an evidence base for policy-making and also reach people of all ages to raise awareness of the risks of EDC exposure and encourage health-promoting behaviors.

Original languageEnglish
Article number271
JournalOpen Research Europe
Volume4
DOIs
Publication statusPublished - 21 Nov 2025

Bibliographical note

Publisher Copyright:
Copyright: © 2025 Zenclussen AC et al.

Keywords

  • chemical mixtures
  • EDC exposure
  • endocrine disrupting chemicals
  • immune system
  • interdisciplinary approach
  • long-term health effects
  • science to policy translation

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